Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Understanding urban gully occurrence in Africa: A continent-wide model

Domain:

geospatialclimate

Record type:

paper
Creator:
EliEriGuyJea
Publisher:
Cop
Host:
The rapid and typically uncontrolled growth of many African cities leads to a plethora of problems, including the formation and expansion of large urban gullies (UGs). These UGs often result in the destruction of homes and infrastructure, displacement of people, and loss of life. In many ways, the formation mechanisms of UGs are similar to those of gullies in other environments. Yet, urban land cover and tropical rainfall conditions, as well as their location in densely populated areas typically make them much more severe. Furthermore, the problems associated with UGs are likely to worsen in the near future as a result of continued urban expansion and climate change. However, this newly emerging geo-hydrological hazard received hitherto very little research attention. Several studies report on the occurrence and impacts of UGs but they remain limited to specific local case studies. A clear understanding of the patterns, impacts and driving factors of UGs at larger scales is currently lacking. To address this gap, we aim to better understand the spatial patterns and UG susceptibility at the scale of Africa. Through the visual analysis of satellite imagery, we documented more than 4,000 cases of UG occurrence, significantly affecting 12 countries across Africa. These UGs are mainly spread over (sub-)tropical areas with D.R. Congo, Angola, Republic of Congo, Nigeria, and Mozambique being the most impacted countries. Using this database, we trained a random forest model that accurately simulates UG occurrence in (peri-)urban areas across Africa, with AUC greater than 0.9. Our results demonstrate that a combination of topography, rainfall characteristics, soil type, and variables describing the urban context (e.g. built-up area, road density) can explain variations in susceptibility to UG occurrence within and across cities. This dataset and model represent critical initial steps toward understanding, mitigating and preventing the risks of UGs in Africa, both now and in the future.

Visit

doi.org

Tasks

computer vision

Similar

Assessing urban gully occurrence at the scale of AfricaA Continent-Wide Assessment of Cyber Vulnerability Across AfricaBrass bands in Africa – a brief introduction to a continent-wide topicDefining Africa-specific metadata schemas for continent-wide inclusive discoverabilityNational strategies and continent-wide facilitation  for the implementation of Open Science practices in AfricaReal-time Prediction of Crop Yields from MODIS Relative Vegetation Health: A Continent-wide Analysis of Africa

Assessing urban gully occurrence at the scale of Africa

The rapid and typically uncontrolled growth of many African cities leads to a plethora of problems a

A Continent-Wide Assessment of Cyber Vulnerability Across Africa

As the internet penetration rate in Africa increases, so does the proliferation of the Internet of T

Brass bands in Africa – a brief introduction to a continent-wide topic

Brass bands in Africa have been in existence since the 19th century after the various colonial power

Defining Africa-specific metadata schemas for continent-wide inclusive discoverability

Presentation held at NISO.plus 20

National strategies and continent-wide facilitation  for the implementation of Open Science practices in Africa

Presentation held at NISO.plus 20

Real-time Prediction of Crop Yields from MODIS Relative Vegetation Health: A Continent-wide Analysis of Africa

Developing countries often have poor monitoring and reporting of weather and crop health, l